中国空间科学技术 ›› 2024, Vol. 44 ›› Issue (1): 34-43.doi: 10.16708/j.cnki.1000-758X.2024.0004

• 论文 • 上一篇    下一篇

高密度集成微惯性导航自主完好性监测

孟凡琛,宋健民,邢朝洋,王巍   

  1. 1.北京航天控制仪器研究所,北京100094
    2.中国航天科技集团有限公司,北京100048
  • 出版日期:2024-02-25 发布日期:2024-02-01

Autonomous integrity monitoring of integrated micro-inertial navigation system

MENG Fanchen,SONG Jianmin,XING Chaoyang,WANG Wei   

  1. 1.Beijing Aerospace Control Instrument Research Institute,Beijing 100094,China
    2.China Aerospace Science and Technology Corporation,Beijing 100048,China
  • Published:2024-02-25 Online:2024-02-01

摘要: 针对多平台、小型化、集群化等未来微小型空天飞行器故障信息自主监测等技术需求,提出了一种高密度集成微惯性导航自主完好性监测算法。该算法依托最优估计理论,分析微惯性导航系统中可能出现的量测误差信息源,通过优选子集数目进行预检验甄选,利用牛顿恒等式优化工程计算方法,达到微惯性导航系统故障信息检测与排除的目的。与传统MHSS算法相比,该算法能够显著降低系统的计算复杂度,并可有效检测小差错和多差错故障观测量,具有较高的故障信息源检测识别概率,增强了高密度集成微惯性导航与制导系统鲁棒性和完备性。

关键词: 高密度集成, 微惯性导航, 组合导航, 完好性监测, 鲁棒性

Abstract: Aiming at the problem of future multi-domain high-intensity operations,such as strong confrontation,multi-platform,miniaturization and clustering,a high-density integrated micro-inertial navigation autonomous integrity monitoring algorithm was proposed,which relys on the optimal estimation theory.It analyzes the information sources of measurement errors that may appear in the micro-inertial navigation system,performs pre-check selection by optimizing the number of subsets,and uses Newton′s identity to optimize the engineering computational complexity to achieve the purpose of fault detection and elimination.Compared with the traditional MHSS algorithm,the computational complexity in micro-system could be greatly reduced,small-error and multi-error fault observations could be effectively detected simultaneously,which improves integrity and robustness of high-density integrated micro-inertial guidance and navigation systems.

Key words: high density integration, micro system, combination navigation, integrity monitoring, robustness